∫ntegrabℓε ∂iﬀerentiαℓs · unorganised notes, code, and writings of random topics

Girshick et al (2014) Rich feature hierarchies for accurate object detection and semantic segmentation

February 4, 2023 paper

This is the R-CNN paper. It is a multi-stage process to take an image as input and produces bounding boxes and classification softmax vector as output. This is called localization of object within an image. The paper is based on Pascal VOC dataset (20 classes). Most of the technical details... [more]

Howard et al (2017) MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

January 30, 2023 paper

Convolutional networks such as AlexNet demonstrated the accuracy image recognition. However, latency as well as model size (i.e., memory) can be a concern. MobileNet proposed in this paper is to make these adjustable. [more]

Great Expectations

January 30, 2023 blog code

Great expectations is a Python library for data validation. It tries to profile a sample dataset for what are the attributes, and the statistics of the attributes (e.g., if numeric, what are min, max, mean, variance, etc.). If you read the documentation, it would suggest you to create a data... [more]

Fixing Keras plot_model bug with expand_nested=True on functional models

December 24, 2022 blog code

Keras has a bug on its function plot_model(). It works fine for simple models but when you have nested models, i.e., a model that depends on some submodels, the plot would be wrong. Specifically, it would be wrong if the submodel is not single-input, single-output (i.e., it must be created... [more]

Language Server Protocol in neovim

December 22, 2022 blog system

My favorite editor is always vim and even better is its recent revamp, the neovim. When comparing neovim to a modern IDE, there are a lot of programming support features missing but none of the IDEs can run over SSH in text screen. To make neovim one step closer to... [more]